CORDIS Project
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This project investigates the concept of generalization in learning algorithms, particularly focusing on overparameterized models. It aims to clarify how these models can effectively infer from limited data and the role of algorithms in this process.
Arguably, the most crucial objective of Learning Theory is to understand the basic notion of generalization:
How can a learning agent infer from a finite amount of data to the whole population?
Today's learning algorithms are poorly understood from that perspective.
In particular, best practices, such as using highly overparameterized models to fit relatively few data, seem to be in almost contradiction to common wisdom, and classical models of learning seem to be incapable of explaining the imp…
TEL AVIV UNIVERSITY
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